CHAI Huo, HE Rui-chun, DAI Cun-jie, MA Chang-xi. Safety scheduling of hazardous materials transportation vehicle considering spatio-temporal dissimilarity[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 145-156. doi: 10.19818/j.cnki.1671-1637.2019.03.015
Citation: CHAI Huo, HE Rui-chun, DAI Cun-jie, MA Chang-xi. Safety scheduling of hazardous materials transportation vehicle considering spatio-temporal dissimilarity[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 145-156. doi: 10.19818/j.cnki.1671-1637.2019.03.015

Safety scheduling of hazardous materials transportation vehicle considering spatio-temporal dissimilarity

doi: 10.19818/j.cnki.1671-1637.2019.03.015
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  • Author Bio:

    CHAI Huo(1982-), male, associate professor, PhD, chaihuo@mail.lzjtu.cn

  • Corresponding author: HE Rui-chun(1969-), female, professor, PhD, herc@mail.lzjtu.cn
  • Received Date: 2018-12-12
  • Publish Date: 2019-06-25
  • To ensure a safety distance between the hazardous materials transportation vehicles, the travel routes and departure time intervals of hazardous materials transportation vehicles were optimized in term of space-time. The impact of hazardous material transportation vehicle accident on other vehicles and the relationship between the hazardous material transportation vehicle accident and the spatio-temporal distance were analyzed, an evaluation method of spatio-temporal safety distance between vehicles was proposed, and taking the spatio-temporal safty distance as a constraint, the calculation method of vehicle safety departure time interval was proposed. A scheduling model of hazardous material transportation vehicle satisfying the spatio-temporal dissimilarity constraint was established. A two-stage solution method was designed to generate the vehicle scheduling timetable. The NSGA-Ⅱ optimization algorithm was used to optimize the travel route of vehicle at the first stage. The genetic algorithm and approximation algorithm based on the inserting thought were designed to optimize the departure time interval at the second stage. To verify the effectiveness of vehicle scheduling model and algorithm, the advantages and disadvantages of different methods at each stage were compared, and the influences of hazardous material accident impact factor and accident impact acceptance on the scheduling results were analyzed. Research result shows that the proposed method can obtain hazardous material transportation vehicle scheduling timetables with different hazardous material accident impact factors, and always ensure the vehicles a safe distance during driving. The average total transportation times obtained by the genetic algorithm and approximation algorithm are 2.45 and 2.49 h, respectively, indicating that the optimal solution of approximation algorithm is inferior to that of genetic algorithm, but the run time is only 1/10 000-1/5 000 of that of genetic algorithm. The smaller the hazardous material accident impact factor or the accident impact acceptance, the larger the vehicle safety departure time interval is, which leads to a longer total transportation time. The vehicle scheduling considering the spatio-temporal dissimilarity can compensate for the deficiency of dissimilar routing method only considering the spatial dissimilarity. At the same time, using the dissimilar routing method can prevent the problem of missing the optimal transportation route.

     

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